Homework 1

Introduction

This is our first R markdown document. In this section we will do a quick introduction about Japanese culture followed by a video and a text to explain what we think about it. As you will see in the third section their will be a presentaion of what each person likes the most for example with Jetnisa it will be japanese culture and for Mehdi will be Arthur Conan Doyle and so on so forth. We will finish the assignement with R syntax and references that we used for our work.

Let’s take a look !

This is an introductory video aout Japan. A presentation of common things in japan followed by a background explication. Of course there is much more to see in Jpan but there is always a starting point !

Group Members

Jetnisa

Voyage de Chihiro Poster

Voyage de Chihiro aka Spirited away

Quote of Miyazaki

The creation of a single world comes from a huge number of fragments and chaos.- Hayato Miyazaki

Emojis

## 😄

## 🔷

## ❤️

Big GIF

Voyage de Chihiro

small GIF

My classes this semester

This table contains all the classes I am following this semester and the hours of each class.

Courses	Hours
Web based data collection	2:00
Microeconomics2	4:00
Sécurité des systèmes d’info	2:00
Création d’entreprise	2:00
Préjugés à l’université	2:00

Mehdi

Sherlock Holmes caption

Sherlock Holmes

Arthur Conan Doyle quotes :

When you have eliminated all which is impossible, then whatever remains, however improbable, must be the truth

Emojis

## 🧟

## ⚕️

## 🛬

Will give at random an emoji + To use chunk code: Cmd + Option + I

Large giphy

In front of statistical language

Small giphy

Table

Class	Hours
Web data	2H
Terrorisme	4H
Econ histoire	4H
Dev economics	4H
Sys inf sec	2H

Rachel

Game of Thrones

The most popular serie of the world, Game of Thrones will return on April 14, 2019

Winter is coming

The joy is shared by millions and millions of people

When I know that GOT comes back in less than 1 month

… But is finishing in 2 months…

How do you fell about it ?

## 😄

## 😕

## 🏔

+———————–+—————+ | Class | Hours | +=======================+===============+ | Contrôle de Gestion | 4H | +———————–+—————+ | Création d’entreprise | 2H | |et système d’innovation| | +———————–+—————+ | Economie contemporaine| 4H | +———————–+—————+ | Mathématiques II | 4H | +———————–+—————+ | Microeconomics II | 4H | +———————–+—————+ | Sécurité des Systèmes | 2H | |d’information| 2H | | +———————–+—————+ |Web Based Data | 2H | |Analysis | | +=======================+===============+

I also work beside my studies :

+=======================+===============+ | McDonald’s | +/- 17H| +=======================+===============+ | Repeater | 2H| +=======================+===============+ . .

Neila

. . . .

R Markdown Syntax

Misleading answers by using the cache option

(a <- runif(1))

## [1] 0.8212167

we putted a being equal to some random uniform number

(d <- 2*a)

## [1] 1.642433

It should give the right answer

(d <- 2*a)

## [1] 1.642433

However when you change again the value of a, since by the cache function R stores the old value of a. To fix this problem we need to add another comment on the chunk code which is dependson. This will tell the program to take the value of a an not the saved one. Cahce can be very useful to save computaional time.

Random sample

n = 100
x = rnorm(n) # Generates 100 random numbers and stored in a vector
(median(x))

## [1] -0.120167

(mean(x))

## [1] -0.05418112

(var(x))

## [1] 1.173078

It is normal to get values different from waht expected as n is not bug enough. As n grows we will get values close to the predicted ones.As e can see by changing the n = 100000 below

n = 100000
x = rnorm(n) # Generates 100000 random numbers and stored in a vector
(median(x))

## [1] -0.003996173

(mean(x))

## [1] -0.001543476

(var(x))

## [1] 1.001653

Histogram

b = 100
x = rnorm(b) # Generates 100 random numbers and stored in a vector
hist(x)

References